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import google.generativeai as genai | |
import gradio as gr | |
import os | |
import re | |
# Load Google AI API | |
genai.configure(api_key=os.getenv('GEMINI_API_KEY')) | |
# Specify model | |
#model = genai.GenerativeModel('gemini-2.5-pro-exp-03-25') | |
model = genai.GenerativeModel('gemini-2.0-flash') | |
# Function to translate text into emojis | |
def text_to_emoji(text): | |
text_cleaned = re.sub(r"[.,!?;:]", "", text) | |
prompt = f"Convert this sentence into an emoji-sequence of the same meaning and return only the emojis, no explanation:\n\n\"{text_cleaned}\"" | |
response = model.generate_content(prompt) | |
return response.text.strip() | |
# Gradio UI | |
iface = gr.Interface( | |
fn=text_to_emoji, | |
inputs=gr.Textbox(lines=2, placeholder="Enter a sentence..."), | |
outputs="text", | |
title="AI-Powered Emoji Translator", | |
description="Enter a sentence, and the AI will transform it into an emoji-version 🥳" | |
) | |
iface.launch() |